Can I Run / Llama 3.1 405B Instruct / on AMD Instinct MI325X

Can I Run Llama 3.1 405B Instruct on a AMD Instinct MI325X?

Yes

Runs at Q4_K_M — good quality with reasonable headroom.

Model size
405B
GPU memory
256GB
Smallest quant
Q4_K_M
Best fit
Q4_K_M

1 quant fit your 256GB

QuantMin VRAMRecommendedFile sizeHeadroom
Q4_K_MBEST246.5 GB248.0 GB245.5 GB+9.5 GB

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Full model details
Llama 3.1 405B Instruct

All quant variants, benchmark scores, and use-case tags.

Best models for this GPU
AMD Instinct MI325X

Top-ranked open-source models that fit in 256GB.

FAQ

Can the AMD Instinct MI325X run Llama 3.1 405B Instruct?

Yes. The AMD Instinct MI325X's 256GB of VRAM is enough to run Llama 3.1 405B Instruct at Q4_K_M quantization (246.5GB required).

What's the best quantization to use?

Q4_K_M is the highest-precision quantization that fits in your 256GB. It uses about 246.5GB of memory and 248.0GB recommended for comfortable inference.

What if I need more headroom for context length?

KV cache memory grows with context length. The numbers above assume a baseline 2K-4K context. For long-context use (32K+), add another 2-6GB depending on the model architecture.